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Searching for "Generalising Mixes." – sorted by Relevance.

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  • Generalising Mixes  
  • by Claudia Diaz, Andrei Serjantov — 2003 — In Privacy Enhacing Technologies, LNCS
  • Generalising Mixes Claudia Daz 1 and Andrei Serjantov 2 1 K.U.Leuven ESAT-COSIC Kasteelpark…
  • Cited by 18 (8 self)Add To MetaCart
  • Nicole H. Augustin, Edgar Kublin, Berthold Metzler  
  • by Meierjohann And Von, Berthold Metzler, Nicole H. Augustin, Nicole H. Augustin, Freiburg Centre For Data Analysis, Edgar Kublin, Edgar Kublin, B. Metzler, E. Meierjohann, E. Meierjohann, G. Von Wühlisch, G. Von Wühlisch — 2004 — Forest Science
  • … is dealt with by modelling it as a spatial trend. The third method uses generalised linear mixed models…
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  • Taxonomy of Mixes and Dummy Traffic  
  • by Claudia Diaz, Bart Preneel — 2004 — In Proceedings of I-NetSec04: 3rd Working Conference on Privacy and Anonymity in Networked and Distributed Systems
  • … in the design of a mix. 5.1 The Generalised Mix Model The Generalized Mix Model was proposed by Diaz…
  • Cited by 7 (0 self)Add To MetaCart
  • On the Anonymity of Timed Pool Mixes  
  • by Andrei Serjantov, Richard E. Newman — 2003 — In Proceedings of the Workshop on Privacy and Anonymity Issues in Networked and Distributed Systems
  • … timed pool mixes such as the Cottrell mix (Cottrell, 1994; Serjantov et al., 2002), and a generalised
  • Cited by 7 (3 self)Add To MetaCart
  • Comparison between Two Practical Mix Designs  
  • by Claudia Diaz, Len Sassaman, Evelyne Dewitte — 2004 — the 9th European Symposium on Research in Computer Security (ESORICS 2004, Sep 13–15), Sophia Antipolis
  • …: if (n else if (0.35*n else s=0.65*n; Mixmaster is represented in the generalised mix model proposed…
  • Cited by 12 (4 self)Add To MetaCart
  • Advances in functional and structural mr image analysis and implementation as fsl  
  • by Stephen M. Smith, Mark Jenkinson, Mark W. Woolrich, Christian F. Beckmann, Timothy E. J. Behrens, Heidi Johansen-berg, Peter R. Bannister, Marilena De Luca, Ivana Drobnjak, David E. Flitney, Rami K. Niazy, James Saunders, John Vickers, Yongyue Zhang, Nicola De Stefano, J. Michael Brady, Paul M. Matthews — 2004 — NeuroImage
  • generalised mixed-effects group analysis using Bayesian estimation techniques (FLAME). FEAT has been developed…
  • Cited by 12 (2 self)Add To MetaCart
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